Quality Data Analyst: Predictive Analytics & AI

Philips; Bothell (WA); On-site; USD 90,000 - 140,000; Full time

Job summary

Philips is seeking a dedicated Product Quality Data Analyst to enhance the quality organization through analytical rigor. The role emphasizes statistical analysis, post-market surveillance data review, and forecasting to drive improvements and cost-of-non-quality metrics feeding ISO reviews and audits.

The position supports new product development and leverages AI-driven insights, with opportunities to advance data science, model development, and cross-functional collaboration across Quality,

Qualifications

• Strong statistical analysis experience.
• Experience working with large datasets and predictive modeling.
• Ability to translate data into actionable business insights.
• Experience working cross-functionally in a regulated environment.

Responsibilities

• Analyze post-market surveillance and complaint data to identify trends, risks, and opportunities for improvement.
• Develop predictive and backward-looking statistical models to forecast quality performance and support new product development.
• Drive cost-of-non-quality calculations and reporting on a day-to-day basis.
• Support ISO quality reviews, audits, and regulatory compliance activities.
• Create data visualizations, dashboards, and analytical reports for stakeholders.
• Monitor and improve data models and analytical processes.
• Collaborate cross-functionally with Quality, Engineering, Regulatory, IT, and Product Development teams.
• Identify opportunities to integrate AI agents and advanced analytics into quality processes.

Skills

Statistical analysis

Large datasets

Predictive modeling

Cross-functional collaboration

Tools

Power BI

SQL

Python

Job description

Philips is seeking a dedicated Product Quality Data Analyst to enhance the quality organization through analytical rigor. The role emphasizes statistical analysis, post-market surveillance data review, and forecasting to drive improvements and cost-of-non-quality metrics feeding ISO reviews and audits.

The position supports new product development and leverages AI-driven insights, with opportunities to advance data science, model development, and cross-functional collaboration across Quality,